Pulse Source of Excitation in Speech Signal

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The properties of speech bursts of closure are studied using the material of a database of 39 speakers containing single-digit and multi-digit numerals with parallel recording of signals on a telephone handset and a directional microphone. Speech burst detection is performed by a short-term and long-term detector of spectral-temporal inhomogeneities, as well as a detector of the similarity measure of the eigenfunctions of the consonant burst spectrum and the current spectrum of the speech burst. The probability of the presence of a voiced or voiceless closure is estimated in the spaces of the amplitude spectrum and the spectrum of the group delay by the ratio of energy in the high and low frequency ranges. The place of articulation of a back-lingual consonant affects the probability distributions of the duration of the interval between the onset of a speech burst and the onset of a vowel, the frequency of the peak with maximum amplitude in the high-frequency region, the ratio of the energy in the high- and low-frequency region of the speech burst spectrum, and the similarity measures of the eigenfunctions of the consonant burst spectrum and the current spectrum of the speech burst.

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作者简介

V. Sorokin

Institute for Information Transmission Problems of the Russian Academy of Sciences

编辑信件的主要联系方式.
Email: vns@iitp.ru
俄罗斯联邦, Moscow

参考

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2. Fig. 1. Area Svt (-), Svs (-); pressure Puvs on the blind (-∙-) and ringing (-∙-) bows; pressure Pvt on the blind (-) and ringing (-) bows; velocity V on the blind (-) and ringing (-) bows; impulse source W on the blind (-) and ringing (-) bows

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3. Fig. 2. Sound combination /apatakA/. (a) - From top to bottom: speech signal, total response of the short-term dynamic detector, sonogram of the speech signal; the beginning of the speech burst - dotted line. (b) - Three-dimensional sonogram of the short-term dynamic detector

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4. Fig. 3. Distributions of the difference between the estimates of the detector peak position d1 and the pulse source onset moment from the manual marking data

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5. Fig. 4. Semi-automatic estimation of the onset of the pulsed speech burst on the segments /loudspeaker-vowel/

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6. Fig. 5. Mismatch between the position of the maximum similarity position of the eigenfunctions P!, Th, Kh and the manual marking of the onset of the speech explosion

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7. Fig. 6. Automatic estimation of the beginning of the explosion in the word /sto/

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8. Fig. 7. Distributions of ∆Tvot of speech bursts of deaf and voiced consonants; manual markup

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9. Fig. 8. Distribution of ∆Tvot of deaf explosive consonants based on manual marking results

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10. Fig. 9. Distributions of relative energy of pulse bursts T! and D! in the amplitude spectrum; directional microphone

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11. Fig. 10. Amplitude and phase relations on deaf and ringing speech bursts. On the abscissa axis is the relative energy of the amplitude spectrum, on the ordinate axis is the relative energy of the group delay spectrum

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12. Fig. 11. Spectra of ringing and deafening speech bursts: short-term dynamic detector (-); burst (---)

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13. Fig. 12. Frequency distribution of the maximum peak frequency of the speech explosion spectrum for deaf blasts

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14. Fig. 13. Distribution of the ratio of the average energy in the 0.8-3 kHz band to the energy in the 3-6 kHz band

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15. Fig. 14. The measure of similarity of eigenfunctions of the spectrum of speech explosion Ph (-) and spectra of speech explosions Th and Kh

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16. Fig. 15. The measure of similarity of eigenfunctions of the short-term detector of the speech burst spectrum Kh (-) and the spectra of the short-term detector of the speech bursts Ph and Th

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